Connected data
We retain originals collected through files, APIs and browsers, then organize and validate them against shared standards. We manage how products, orders, inventory and settlements connect.
TECHNOLOGY / SYSTEMS & PROCESS
Data collection and validation, workflow automation and traceable decision support.
Explore the software foundation connecting daily operations, and our content creation technology.
AX · From data to work
We connect data across tasks and automate repetitive processing.
Summaries and suggestions are designed to retain evidence for people to review.
We retain originals collected through files, APIs and browsers, then organize and validate them against shared standards. We manage how products, orders, inventory and settlements connect.
We assign jobs around schedules and resources, and track status, failures and retries. Our own operating foundation connects each stage of the work.
We build paths from metrics, reports and AI suggestions back to original evidence. We validate scope for each workflow and record human reviews and decisions.
CDH operational data and ioCAST production data are handled within each service’s responsibilities and permissions. The production diagram below does not describe all of CDH.
CONTENT PRODUCTION / SYSTEM ARCHITECTURE
Storage handles files. Engines handle production.
ioCAST handles review and selection.
Recorded video · Photos · Audio
Production assets as files
Files · Versions · Checksums
Pass source references
EngineScript → Cuts & captions → Render
AI musicStyle & lyrics → Audio candidates
Review frames, captions and evidence
Compare candidates → Human selection
Video · Music · Thumbnails
Export · Storage references
↳ Selected outputs are stored in Dropfile and linked back to the sources used in production.
02 / VIDEO PIPELINE
From input to final frame,
we connect the information each stage records.
We link recorded assets, product descriptions, brand voice, logos and profile versions to the production request. We define the materials and purpose first.
We analyze recorded scenes and find product and brand materials for the script. Source references and verified information remain linked as production evidence.
We compose text from product information and assets. We are improving review of the sequence and role of the whole piece, alongside individual claims.
We combine scene order and duration, caption placement and music segments. Music is selected through a separate generation and listening workflow, then linked to the video.
We render with Remotion- and FFmpeg-based tools. We inspect final captioned frames, crops and zooms, and prepare outputs such as thumbnails.
People review candidates in ioCAST and select an output. Production runs, source references and output files are linked for later retrieval.
We are improving clip analysis and scene selection. We reuse shared analysis of the same file while keeping product-specific assessments separate, and are preparing a library for reusing crop, zoom and speed variants.
03 / JUDGMENT & EVIDENCE
We check claims against verified product information and figures. We look for unsupported statements about materials, performance or benefits that scenes alone cannot establish.
We review the order and role of the complete caption set, checking for contradictions, unnecessary repetition and wording that conflicts with the product context.
We review captions alongside actual scenes. We inspect the rendered output to check whether crops, zooms and caption placement suit the selected wording.
We have defined warning categories for exaggerated or prohibited wording, implied medical benefits and unsupported figures. We evaluate missed risks alongside unnecessary warnings.
People verify evidence for claims, required advertising disclosures and channel and industry standards. An absence of warnings does not guarantee approval or factual accuracy.
04 / COLLECTION & FILE PROCESSING
Files connect through storage references.
API and web data connect directly to processors.
Collected data without a file upload
Authenticated API responses
Collect text, media and sources
Organize fields · Parse · Validate
Retain source and original information
Lookups · Production evidence
Connect verified information to production
Three routes from shared storage, depending on purpose
Source assets for production
Product data · OCR images
Files for encoding conversion
File storage · Versions · Checksums
Pass file references without interpreting content
Scene analysis · Editing · Generation
Parse · Extract text · Validate
Detect encoding · Convert formats
Production candidatesioCAST review → Store selected outputs
Product information to verifyCheck against originals → Lookups and production materials
Converted filesDownload → Clean up temporary storage
Source assets for production
File storage · Pass references
ioCAST review · Store selected outputs
Product data · OCR images
File storage · Pass references
Check originals · Lookups and production evidence
Files for encoding conversion
File storage · Pass references
Download · Clean up temporary storage
↳ Dropfile stores originals; processors interpret them. Production outputs and converted files link back to storage.
Dropfile stores files; dedicated processors handle parsing, OCR and conversion. Photo OCR results are checked with originals and sources, and people review suggested categories and fields. API integrations align service authentication and received fields.
Collection, OCR and API integration are existing capabilities. ioCAST product registration focuses on file uploads and text entry; direct import from product URLs is not currently available. CSV and TXT encoding conversion and CSV extraction from Excel’s first data sheet use a separate file processing workflow.
05 / STORAGE FOUNDATION
We store source video, images, music, finished outputs and thumbnails,
and manage the file lifecycle from upload to restoration.
We split large uploads and track progress. Retained upload parts support continued retries.
We manage file sizes, versions and checksums to link production sources and outputs to the exact files used.
We provide previews for supported formats and thumbnails for images and video. Thumbnail processing status and failures are tracked too.
Deleted files and previous versions can be restored according to file state and retention policy.
People can select multiple files for processing and prepare batch downloads. Long jobs such as compression expose their status.
APIs connect uploads, lookups and downloads. Access controls distinguish file owners and administrators.
06 / EXECUTION & ACCESS
Request video and voice jobs
Add to queue
Adjust job order
Assign available resources
Execution, interruption and completion history
Verify uncertain termination
Store output files
Link requests and execution records
We coordinate GPU resources and job order for video and voice work. The design holds subsequent execution until a job with uncertain termination has been checked.
We check permissions for sessions and API requests, separating data access by organization. Shared account and tool integrations are being prepared to preserve permissions and execution history.
We manage filmed participants, contract materials and usage periods, and record assets and contract information used in each request. File versions and production runs are tracked together.
This does not mean every product runs automatically in production. Integration and activation are verified separately for each consuming service.
VOICE & MUSIC
We design the two production workflows separately
and connect them on the video timeline.
We distinguish on-screen text from spoken text. A dictionary manages pronunciation for proper names and units.
We record voices and generation settings, storing audio by sentence. We are connecting a workflow to regenerate only the sentences needed and reuse outputs.
We have tested voices, delivery styles and sentence joins. Voice consistency in long scripts, pronunciation, silence and duration require further validation.
Full narration production is not generally available yet. We are validating scheduler and ioCAST integration as we apply it.
Mood, style, lyrics and vocal settings guide the generation of audio candidates.
Compatible music generation routes let people select a LoRA and its strength. They can listen to and compare the result with base generation.
People use waveforms to inspect segments and select music for video. Usage counts and recent usage history are available.
Music LoRA is separate from training or tuning assessment technology. It does not imply better quality across all styles.
07 / DEVELOPMENT & NEXT
Development stage and availability are stated separately.
We have developed an interface for listening to selected music and distinguishing edits in progress from the original output.
Merge verified on 2026-10-23 · Production deployment requires separate verificationWe compare results on fixed materials and review quality and resource use. Content, format, processing time and failures are considered together; actual frames and listening results determine where to apply the technology.
We are preparing connections for conversational AI to query permitted data and call production tools. Starting with read-focused validation, we plan to expand to authorized production requests while preserving user and organization permissions and execution history. Production-specific tuning and proprietary technology research are also planned.
We aim to extend into long-form production, channel and advertising integration, and feeding results into future planning. Our own information and partner-content channels are being prepared as internal operating projects.
ioCAST brand profiles manage the identity and standards used in production. Broader brand asset management is being prepared as a separate plan.
We provide reference information for reviewing product size, fit and measurement differences between sizes. Product interface integration is in progress; final checks use physical samples and fittings.
Based on documents reviewed on 2026-10-24. Availability will be communicated after feature-specific integration and validation.
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